Shengze Jin — accepted AI-conference papers

2024

Multiway Point Cloud Mosaicking with Diffusion and Global Optimization

Shengze Jin, Iro Armeni, Marc Pollefeys, Daniel Barath

CVPR 2024poster

We introduce a novel framework for multiway point cloud mosaicking (named Wednesday) designed to co-align sets of partially overlapping point clouds -- typically obtained from 3D scanners or moving RGB-D cameras -- into a unified coordinate system. At the core of our approach is ODIN a learned pairw…

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2021

LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection

Jin Fang, Xinxin Zuo, Dingfu Zhou, Shengze Jin, Sen Wang, Liangjun Zhang

CVPR 2021poster

Annotating the LiDAR point cloud is crucial for deep learning-based 3D object detection tasks. Due to expensive labeling costs, data augmentation has been taken as a necessary module and plays an important role in training the neural network. "Copy" and "paste" (i.e., GT-Aug) is the most commonly us…

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